Results 211 to 220 of about 273,568 (297)
Field experiments on the effects of fire on parasite transmission to amphibian hosts. [PDF]
Ortega N +6 more
europepmc +1 more source
This study demonstrates that ECOSTRESS lands surface temperature (LST) data are sensitive to forest thinning, regional drought, and their interaction. Consistent with high‐resolution UAV images, ECOSTRESS LST data indicate thinned forest had significantly greater temperature across years.
Temuulen Tsagaan Sankey +9 more
wiley +1 more source
Pastoralism Can Mitigate Biodiversity Loss on Global Rangelands. [PDF]
Briske DD +6 more
europepmc +1 more source
This study develops a novel application of UAV‐LiDAR and Red Green Blue (RGB) data and network analysis to enhance our understanding of boreal forest succession. The results indicate that tree height and spectral variables are the most influential predictors of plant functional type in random forest algorithms, and high overall accuracies were attained.
Léa Enguehard +9 more
wiley +1 more source
FireLog: An open-source, low-cost system for temperature logging during wildland fires with high spatial and temporal resolution. [PDF]
Chamara N, Ge Y, Russo S.
europepmc +1 more source
We combined arboreal camera trapping and non‐invasive genetic tagging to estimate group size in the critically endangered northern muriqui (Brachyteles hypoxanthus) in Brazil's Atlantic Forest. Both methods provided complementary insights into group size and demographic structure, while differing in their cost‐effectiveness and sampling constraints ...
Mariane C. Kaizer +7 more
wiley +1 more source
An Integrated Multi-Scale Approach to Habitat Modelling and Conservation for a Threatened Marsupial in a Dynamic and Fire-Prone Landscape. [PDF]
Lupone L +4 more
europepmc +1 more source
Tree canopy height is a key indicator of forest biomass and structure, yet accurate mapping across the Amazon remains challenging. Here, we generated a canopy height map of the Amazon forest at ~4.8 m resolution using Planet NICFI imagery and a deep learning U‐Net model trained with airborne LiDAR data.
Fabien H. Wagner +21 more
wiley +1 more source
Establishing foundations: Designing a long-term experiment to evaluate whether nestboxes assist population recovery of an endangered species after fire. [PDF]
Ridley JCH +7 more
europepmc +1 more source
Accurately estimating forest age is key to understanding how forests recover and evaluating restoration success. We developed a two‐step deep learning approach using historical greyscale aerial photographs to map forest age at fine spatial scales. By combining a pre‐trained model with localized fine‐tuning, our U‐Net + ResNet50 architecture achieved ...
Ying Ki Law +10 more
wiley +1 more source

